Team Status Report 09/21

Progress report for work done until 09/21

• Worked and submitted abstract,
• Received feedback from advisors and finetuned proposal,
• Developed and delivered the proposal presentation,
• The initial code base github setup for audio processing code started,
• Team meeting on 09/19 helped us hash out the specifics of the project and divide tasks.

What are the most significant risks that could jeopardize the success of the
project? How are these risks being managed?What contingency plans are ready?

Vision model output is a high priority since the entire system is dependent on its accuracy. Testing and training of the YOLO model with public datasets. [Ethan]

Contingency plans: finding other models that may work better for backup. [Swati]

Hashing out the details of the cloud infrastructure and gathering information regarding server setup. [Giancarlo]

Meeting Minutes:

Actionables: 

High priority: DUE:  Sep 23, 2024

• Find out what to order [Swati Anshu]
  • rasp pi, jetson, camera???? need to know what is available
• Make a small testing dataset [emuchnik@andrew.cmu.edu], we can have everyone contribute though
• Try to get “Obj detection” working robustly [emuchnik@andrew.cmu.edu]
  • Depending on results, may involve detours
    • zoom?
    • additional training?
      • Additional dataset? (many imgs needing)
• Database [Swati Anshu]
  • RESEARCH!!! – lay out ideal whole file storage solution
    • Best for cloud??? – pick database with favorable characteristics given what we want to store
    • Is there something structurally comparable on local -> easy same interface
  • Check in before implementation -> solidify interfaces based on what we want to store (what does obj dec spit out?), and how we want to retrieve it
  • implement
• Getting web server to run [Giancarlo Zaniolo]
  • apache?
  • docker????
  • portable to cloud?
• Remember to update website!!!
  • Group update 
    • Order: 1. Swati Anshu 2. Ethan Muchnik 3. Giancarlo Zaniolo
  • User update @everyone